Arnab Bhattacherjee
Impact in
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- Diffusion and Search Dynamics
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- DNA and Nucleic Acid Chemistry
- Genomics and Chromatin Dynamics
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- Bacterial Genetics and Biotechnology
Papers in
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- Diffusion and Search Dynamics 14
- RNA and protein synthesis mechanisms 13
- Protein Structure and Dynamics 9
- Genomics and Chromatin Dynamics 9
- DNA and Nucleic Acid Chemistry 7
- Ecology 8
- Bacteriophages and microbial interactions 8
- Co-authors
- Yaakov Levy (4 shared papers)Stefan Wallin (3 shared papers)Parbati Biswas (5 shared papers)Dana Krepel (1 shared paper)Enrico Bucci (1 shared paper)Ernesto Carafoli (1 shared paper)Yufang Shi (1 shared paper)Gobardhan Das (1 shared paper)
In The Last Decade
Arnab Bhattacherjee
33 papers receiving 481 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 411
- Genetics 79
- Ecology 52
- Infectious Diseases 27
- Modeling and Simulation 7
Countries citing papers authored by Arnab Bhattacherjee
This map shows the geographic impact of Arnab Bhattacherjee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arnab Bhattacherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnab Bhattacherjee more than expected).
Fields of papers citing papers by Arnab Bhattacherjee
This network shows the impact of papers produced by Arnab Bhattacherjee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arnab Bhattacherjee. The network helps show where Arnab Bhattacherjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnab Bhattacherjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 46 | |
| 2 | 2020 | 41 | |
| 3 | 2015 | 37 | |
| 4 | 2018 | 36 | |
| 5 | 2012 | 32 | |
| 6 | 2014 | 29 | |
| 7 | 2013 | 29 | |
| 8 | 2016 | 27 | |
| 9 | 2015 | 26 | |
| 10 | 2018 | 18 | |
| 11 | 2019 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2014 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2019 | 13 | |
| 16 | 2012 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2009 | 8 |
About Arnab Bhattacherjee
Arnab Bhattacherjee is a scholar working on Molecular Biology, Ecology, Genetics, Materials Chemistry and Statistical and Nonlinear Physics, having authored 36 papers that have together received 483 indexed citations. Recurring topics across this work include Diffusion and Search Dynamics (14 papers), RNA and protein synthesis mechanisms (13 papers), Protein Structure and Dynamics (9 papers), Genomics and Chromatin Dynamics (9 papers), Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (8 papers), DNA and Nucleic Acid Chemistry (7 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Molecular Biology (411 citations), Genetics (79 citations), Ecology (52 citations), Infectious Diseases (27 citations) and Modeling and Simulation (7 citations). Arnab Bhattacherjee has collaborated with scholars based in India, Sweden and Germany. Frequent co-authors include Yaakov Levy, Stefan Wallin, Parbati Biswas, Dana Krepel, Enrico Bucci, Ernesto Carafoli, Yufang Shi, Gobardhan Das, Naama Kessler and Saurabh Kumar Sharma. Their work appears in journals such as The Journal of Physical Chemistry B, Biophysical Journal, Nucleic Acids Research, The Journal of Chemical Physics and Soft Matter.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.